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NEW YORK – Pancreatic cancer risk prediction models based on clinical factors may be refined and improved by bringing in other types of data, including germline genetic risk variant and blood-based biomarker data, according to an international team led by investigators at the Harvard T.H. Chan School and Public Health and the Dana-Farber Cancer Institute.

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Oct
27
Sponsored by
LGC SeraCare Life Sciences

This webinar features a panel of industry stakeholders in cancer diagnostics, proficiency testing and clinical care who will discuss the promise and challenges of liquid biopsy technologies in disease diagnosis, monitoring, and patient care management.

Oct
29

Illumina’s BaseSpace Sequence Hub (BSSH) supports primary and secondary analysis of massively parallel sequencing data and can be applied to gene panel data that is generated as part of a clinical cancer assay performed in a pathology lab.

Nov
03

Molecular tumor profiling has provided extensive value, both in tumor biology and oncology, with the development of new technologies to identify biomarkers.

Nov
05

This webinar will provide an overview of novel proximal and distal sampling methods that have promise to improve patient outcomes from esophageal cancer.